DocumentCode :
2596539
Title :
Shape representation and recognition from curvature
Author :
Dudek, Gregory ; Tsotsos, John K.
Author_Institution :
Res. Centre for Intelligent Machines, McGill Univ., Montreal, Que., Canada
fYear :
1991
fDate :
3-6 Jun 1991
Firstpage :
35
Lastpage :
41
Abstract :
An approach for describing objects for the purpose of recognition is developed. The authors deal with two key issues: building natural descriptions of curved objects, and making these descriptions compact and abstract. Typical examples of the types of curve one is able to describe as both qualitatively similar, yet discriminably different, are shown. Methods based on curvature extrema alone are likely to find three of the four of these shapes indistinguishable, while methods based on approaches such as shape templates may be oblivious to their similarity. The central ideas of the approach are outlined
Keywords :
computer vision; computerised pattern recognition; curvature extrema; curved objects; natural descriptions; shape recognition; shape representation; shape templates; Art; Data mining; Dynamic programming; Interpolation; Noise measurement; Noise shaping; Robustness; Shape; Smoothing methods; Target recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 1991. Proceedings CVPR '91., IEEE Computer Society Conference on
Conference_Location :
Maui, HI
ISSN :
1063-6919
Print_ISBN :
0-8186-2148-6
Type :
conf
DOI :
10.1109/CVPR.1991.139657
Filename :
139657
Link To Document :
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